Lead Principal Engineer for Data Center Architecture

Oracle Corporation; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Oracle Corporation seeks an experienced data center architect to tackle complex infrastructure challenges across sites, campuses, and colocation facilities. You will drive high-density AI deployments through thoughtful site selection, capacity planning, power and cooling design, and connectivity planning, ensuring readiness across all locations.

In this role you will collaborate with facilities, network, storage, and hardware teams, communicate architectural decisions to technical and executive

Qualifications

• 8+ years of data center architecture or large-scale cloud deployment.
• Experience with AI labs and high-density AI infrastructure.
• Site selection, colocation evaluation, and data-hall layout optimization.
• Power and cooling design, power capping, thermal assessment.
• Coordinate across facilities, network, storage, colocation, hardware, and business teams.
• Strong communication to stakeholders.

Responsibilities

• Develop AI infrastructure deployment strategies across sites and campuses.
• Evaluate site and data-hall constraints, including layout and rack placement.
• Conduct capacity planning and rack-power modeling for high-density AI infrastructure.
• Design high-performance networking and storage connectivity for AI environments.
• Collaborate with cross-functional teams and leadership to articulate risks and tradeoffs.

Skills

Data center architecture

Capacity planning

Power and cooling design

Networking and storage connectivity

Cross-site coordination

Executive communication

Job description

This position is ideal for an experienced data center architect who enjoys solving complex infrastructure challenges across sites, campuses, and colocation facilities. You will play a pivotal role in enabling high-density AI deployments through thoughtful site selection, capacity planning, power and cooling design, connectivity planning, and multi-site readiness assessments.

Required Qualifications:

• Strong knowledge of modern data center and campus architecture, including power, cooling, networking, storage connectivity, physical infrastructure, colocation considerations, and operational resiliency.
• Experience developing AI infrastructure deployment strategies across sites, campuses, or colocation environments.
• Ability to evaluate site and data-hall constraints, including physical layout, rack placement, power availability, cooling capacity, density limits, and serviceability.
• Experience with capacity planning and rack-power modeling for high-density AI infrastructure.
• Strong understanding of high-performance networking, scale-out connectivity, and storage-related network demand for AI environments.
• Ability to develop flexible infrastructure options and late-binding strategies as technology, capacity, and customer requirements evolve.
• Strong communication skills, including the ability to articulate architectural decisions, deployment risks, customer commitments, and tradeoffs to technical and executive stakeholders.
• Ability to coordinate effectively across facilities, network, storage, colocation, hardware, software, and business teams.

Internal Responsibilities

Preferred Qualifications:

• 8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment.
• Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses.
• Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization.
• Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.
• Experience evaluating multi-site deployment readiness and managing platform or capacity pivots.
• Familiarity with accelerator platform requirements and their implications for power, cooling, networking, storage, and facility design.

External Responsibilities

Preferred Qualifications:

• 8+ years of experience in data center architecture, infrastructure engineering, capacity planning, or large-scale cloud infrastructure deployment.
• Experience with AI labs, high-density AI infrastructure, HPC environments, or large-scale cloud campuses.
• Experience with site selection, colocation evaluation, campus planning, and data-hall layout optimization.
• Experience with power and cooling design, power capping, thermal assessment, densification, and infrastructure lifecycle planning.
• Experience evaluating multi-site deployment readiness and managing platform or capacity pivots.